Home ›
Entities
› academia
› LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage
LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage
Research article (Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021) · cited 20× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage. Retrieved May 24, 2026, from https://4ort.xyz/entity/ls-sampling-an-effective-local-search-based-sampling-approach-for-achieving-high-t-wise-coverage
MLA“LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ls-sampling-an-effective-local-search-based-sampling-approach-for-achieving-high-t-wise-coverage.
BibTeX@misc{4ortxyz_ls-sampling-an-effective-local-search-based-sampling-approach-for-achieving-high-t-wise-coverage_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage}}, year = {2026}, url = {https://4ort.xyz/entity/ls-sampling-an-effective-local-search-based-sampling-approach-for-achieving-high-t-wise-coverage}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage — https://4ort.xyz/entity/ls-sampling-an-effective-local-search-based-sampling-approach-for-achieving-high-t-wise-coverage (retrieved 2026-05-24)
